Senior Data Services Engineer, Strategic Projects

About GrowthLoop

GrowthLoop is a pioneer in AI-powered marketing on the data cloud, featured on G2 by its customers as a momentum leader with the best ROI for enterprise. Founded and led by former Google executives, GrowthLoop helps innovative companies transform how they market and drive business impact.

The GrowthLoop Compound Marketing Engine drives compound growth by accelerating the marketing cycle, using Agentic AI powered by your enterprise cloud data. Growth Agents propose audiences and journeys, and activate campaigns across channels, streamlining execution and continuously analyzing performance data to make suggestions for campaign optimization.  

Thousands of marketers at enterprises like Google, Costco, and Albertsons rely on GrowthLoop to grow faster with agentic AI, drive measurable campaign results, and maximize marketing ROI—compounding growth with every experiment, iteration, and campaign.

How We Work 

• Love Our Customer - We win when our customer wins.
• Make It So - We turn decisions into outcomes.
• Put We Over Me - We succeed together—or not at all.
• Be Human - Goodness and kindness compounds.
• Aim High - We’re here for the long game—act like it.

The Opportunity

In this role, you will serve as the primary technical lead embedded with a single enterprise client, owning their data transformation journey end-to-end. You'll drive the strategic direction of the engagement — from scoping and solution design through delivery and adoption — while building a trusted partnership at both the technical and executive level. This is a high-visibility role at the center of a critical, strategic initiative.

You bring deep expertise in data architecture and a track record of leading complex engagements from ambiguity to impact. You're as comfortable whiteboarding a scalable data model as you are aligning stakeholders on priorities, managing competing timelines, and guiding junior team members. You know that durable solutions require not just clean design, but the processes and relationships that make them stick.

If you're energized by owning outcomes, influencing strategy, and being the person clients rely on to get it done — this role is for you.

What You’ll Do

• Lead the ingestion of large volumes of data into cloud data warehouses, with a focus on performance, reliability, and scale
• Serve as the primary technical point of contact for a single enterprise client, building a deep understanding of their business needs, data landscape, and priorities
• Design and build scalable data models that support the client's analytical and operational goals, from initial design through delivery
• Drive end-to-end project execution, coordinating across workstreams and keeping stakeholders aligned on progress and decisions
• Identify and implement improvements to internal workflows and tooling that increase efficiency and repeatability across the engagement

What We Look For

Core Requirements 

• 4–7 years of experience as a Data Engineer or Analytics Engineer, with strong proficiency in SQL and Python
• Proven experience designing, building, and maintaining cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
• Hands-on experience with Google Cloud Platform (GCP), including core services such as BigQuery; GCP Professional Data Engineer certification strongly preferred
• Track record of owning data projects end-to-end — from scoping and design through delivery — while coordinating the work of other team members
• Strong data modeling skills, with the ability to design scalable, well-structured models for both analytical and operational use cases
• Experience working with BI and visualization tools (e.g., Looker, Tableau, Power BI, or similar)
• Solid understanding of relational databases and core data warehousing principles
• Strong analytical thinking and problem-solving abilities
• Self-starter who operates with autonomy and takes ownership of outcomes

Bonus Points If You Have

• Experience with transformation and modeling tools such as dbt or Google Cloud Dataform
• Experience with workflow orchestration platforms like Airflow
• Exposure to machine learning workflows, including model development, training, deployment, or productionization
• Experience working with or within large enterprise organizations

We are a collaborative, growth-minded team that believes in taking the learner's mindset into everything we do. This role offers the opportunity to expand into machine learning and AI, applying modern data science techniques to solve meaningful business problems.

The estimated total compensation for this is $140,000-$150,000 USD. Final base salary decisions will be based on a variety of non-discriminatory factors unique to each candidate, such as the individual’s skill set, depth of experience, and qualifications.

What We Offer 

Rewards

• See your work engage some of the world’s most important brands, including Google, Priceline, and Costco.
• Spot bonuses for major milestones and product feature launches.
• Clear opportunities for career progression and cross-functional collaboration.
• Meaningful equity so you share in the value you help create.

Flexible, Remote-First Work

• Remote-first culture with team members and leaders across North America and beyond, with strong communities in New York, San Francisco, and Toronto.
• Flexible, goal-based work style.
• Flexible PTO with trust and autonomy.
• Monthly, company-wide Recharge Days to truly unplug.
• Annual home office stipend to support your workspace.

Comprehensive Benefits

• 100% company-paid medical coverage for individual employees with strong dependent contributions, including dental & vision coverage
• Full health, dental, vision, life, and disability coverage for Canadian employees (fully employer-paid) 
• 401(k) or RRSP (Canada) Program with Generous Company Match

Learn and Grow

• Quarterly Hackathons to focus on team passion projects
• Annual professional development stipend
• Work directly with a world-class executive team
• A learners’ mindset culture

GrowthLoop is an Equal Opportunity Employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.